Linear regression courses can help you learn how to analyze relationships between variables, interpret coefficients, and evaluate model performance. You can build skills in data visualization, hypothesis testing, and making predictions based on data trends. Many courses introduce tools like Python, R, and Excel, that support implementing regression models and analyzing datasets effectively.

Columbia University
Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Systems, Mathematical Modeling, Numerical Analysis, Applied Mathematics, Python Programming, Process Optimization, Probability Distribution, Algorithms, Case Studies
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Skills you'll gain: Vibrations, Control Systems, Mechanics, Torque (Physics), Engineering Analysis, Finite Element Methods, Mechanical Engineering, Simulations, Angular, Engineering Calculations, Differential Equations, Mathematical Modeling, Applied Mathematics, Simulation and Simulation Software, Linear Algebra, Calculus
Advanced · Specialization · 1 - 3 Months

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Differential Equations, Engineering Analysis, Mechanics, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Physics, Geometry, Vibrations, Derivatives
Mixed · Course · 1 - 3 Months

Skills you'll gain: Geometry, Integral Calculus, Calculus, Applied Mathematics, Linear Algebra, Advanced Mathematics, Derivatives, Algebra
Mixed · Course · 1 - 3 Months

Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Lean Methodologies, Team Motivation, Process Improvement, Six Sigma Methodology, Kaizen Methodology, Lean Six Sigma, Process Capability, Risk Analysis, Team Leadership, Quality Improvement, Team Management, Benchmarking, Motivational Skills, Performance Measurement, Change Management, Process Analysis, Root Cause Analysis, Regression Analysis
Intermediate · Specialization · 1 - 3 Months

Columbia University
Skills you'll gain: Statistical Inference, Econometrics, Mediation, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design
Advanced · Course · 1 - 3 Months

EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Portfolio Risk, Machine Learning, Applied Machine Learning, Financial Market, Financial Modeling, Supervised Learning, Predictive Analytics, Unsupervised Learning, Regression Analysis, Statistical Methods, Jupyter, Computer Science, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Model Evaluation, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Statistical Modeling, Data Cleansing, Data Preprocessing, Feature Engineering, Forecasting
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Investments, Portfolio Management, Finance, Return On Investment, Behavioral Economics, Equities, Financial Market, Asset Management, Portfolio Risk, Performance Analysis, Income Tax, Decision Making, Benchmarking
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Algorithms, Computer Hardware, Cryptography, Python Programming, Computer Programming, Emerging Technologies, Theoretical Computer Science, Simulation and Simulation Software, Linear Algebra
Beginner · Course · 1 - 3 Months